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Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?

INTRODUCTION: Biomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline. METHODS: A total of 215 subjects were used with a diagnosis of no...

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Autores principales: Tarnanas, Ioannis, Tsolaki, Anthoula, Wiederhold, Mark, Wiederhold, Brenda, Tsolaki, Magda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879487/
https://www.ncbi.nlm.nih.gov/pubmed/27239530
http://dx.doi.org/10.1016/j.dadm.2015.10.005
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author Tarnanas, Ioannis
Tsolaki, Anthoula
Wiederhold, Mark
Wiederhold, Brenda
Tsolaki, Magda
author_facet Tarnanas, Ioannis
Tsolaki, Anthoula
Wiederhold, Mark
Wiederhold, Brenda
Tsolaki, Magda
author_sort Tarnanas, Ioannis
collection PubMed
description INTRODUCTION: Biomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline. METHODS: A total of 215 subjects were used with a diagnosis of normal, mild cognitive impairment (MCI) or Alzheimer's disease (AD) at baseline. We calculated standardized biomarker progression rates and used them as predictors of outcome within 5 years. RESULTS: Early cognitive declines were more strongly explained by fluorodeoxyglucose-positron emission tomography, precuneus and medial temporal cortical thickness, and the complex instrumental activities of daily living (iADL) marker progressions. Using Cox proportional hazards model, we found that these progressions were a significant risk factor for conversion from both MCI to AD (adjusted hazard ratio 1.45; 95% confidence interval 1.20–1.93; P = 1.23 × 10(−5)) and cognitively normal to MCI (adjusted hazard ratio 1.76; 95% confidence interval 1.32–2.34; P = 1.55 × 10(−5)). DISCUSSION: Compared with standard biological biomarkers, complex functional iADL markers could also provide predictive information for cognitive decline during the presymptomatic stage. This has important implications for clinical trials focusing on prevention in asymptomatic individuals.
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spelling pubmed-48794872016-05-27 Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? Tarnanas, Ioannis Tsolaki, Anthoula Wiederhold, Mark Wiederhold, Brenda Tsolaki, Magda Alzheimers Dement (Amst) Cognitive & Behavioral Assessment INTRODUCTION: Biomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline. METHODS: A total of 215 subjects were used with a diagnosis of normal, mild cognitive impairment (MCI) or Alzheimer's disease (AD) at baseline. We calculated standardized biomarker progression rates and used them as predictors of outcome within 5 years. RESULTS: Early cognitive declines were more strongly explained by fluorodeoxyglucose-positron emission tomography, precuneus and medial temporal cortical thickness, and the complex instrumental activities of daily living (iADL) marker progressions. Using Cox proportional hazards model, we found that these progressions were a significant risk factor for conversion from both MCI to AD (adjusted hazard ratio 1.45; 95% confidence interval 1.20–1.93; P = 1.23 × 10(−5)) and cognitively normal to MCI (adjusted hazard ratio 1.76; 95% confidence interval 1.32–2.34; P = 1.55 × 10(−5)). DISCUSSION: Compared with standard biological biomarkers, complex functional iADL markers could also provide predictive information for cognitive decline during the presymptomatic stage. This has important implications for clinical trials focusing on prevention in asymptomatic individuals. Elsevier 2015-11-14 /pmc/articles/PMC4879487/ /pubmed/27239530 http://dx.doi.org/10.1016/j.dadm.2015.10.005 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Cognitive & Behavioral Assessment
Tarnanas, Ioannis
Tsolaki, Anthoula
Wiederhold, Mark
Wiederhold, Brenda
Tsolaki, Magda
Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
title Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
title_full Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
title_fullStr Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
title_full_unstemmed Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
title_short Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
title_sort five-year biomarker progression variability for alzheimer's disease dementia prediction: can a complex instrumental activities of daily living marker fill in the gaps?
topic Cognitive & Behavioral Assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879487/
https://www.ncbi.nlm.nih.gov/pubmed/27239530
http://dx.doi.org/10.1016/j.dadm.2015.10.005
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